Blood metabolomic and transcriptomic signatures stratify patient subgroups in multiple sclerosis according to disease severity

Blood metabolomic and transcriptomic signatures stratify patient subgroups in multiple sclerosis according to disease severity

Summary: There are no blood-based biomarkers distinguishing patients with relapsing-remitting (RRMS) from secondary progressive multiple sclerosis (SPMS) although evidence supports metabolomic changes according to MS disease severity. Here machine learning analysis of serum metabolomic data stratifi...

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Bibliographic Details
Main Authors: Alexandra E. Oppong, Leda Coelewij, Georgia Robertson, Lucia Martin-Gutierrez, Kirsty E. Waddington, Pierre Dönnes, Petra Nytrova, Rachel Farrell, Inés Pineda-Torra, Elizabeth C. Jury
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Classification Description
Molecular network
Metabolomics
Transcriptomics
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224004462

Internet

http://www.sciencedirect.com/science/article/pii/S2589004224004462

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